Enterprise RAG-as-a-Service

The Managed Infrastructure for
Production-Ready AI Agents

A complete RAG-as-a-Service platform. We handle the complex stack—Python backend, enterprise auth, vector database, and semantic caching—so you can deploy scalable, intelligent agents in minutes, not months.

Agent Core

RAG Search Agent

Pipeline Configuration
Retrieval Top-K
6 Chunks
Sim Threshold
0.75
Hybrid Weight (Alpha)
0.7
VectorKeyword
Metadata Indexing
Active

Vector chunks are enriched with structured fields for precise pre-filtering and hybrid search.

CategoryTypeStatusVersionDate

Ready to search

Click the send button to visualize the agent workflow

Instant Backend

Pre-configured Python environment with built-in JWT authentication and rate-limiting, ready for high-load production.

Managed Vector Store

Automated indexing, hybrid search (dense + sparse), and metadata filtering without managing the underlying database cluster.

Semantic Caching

Intelligent caching layer that reduces LLM costs and latency by serving cached responses for semantically similar queries.

Architecture: The RAG Pipeline

Click on any stage below to explore our advanced processing capabilities, from ingestion to generation.

Intelligent Document Processing

Our ingestion engine handles unstructured data from diverse sources including direct File Uploads, URLs, and Google Drive integrations. We go beyond simple text extraction.

Key Features

PDF, MD, TXT, CSV, XLS, DOCX Support
Tesseract OCR Engine for scanned docs
ML-based Layout Analysis (Column/Paragraph detection)
Special symbol cleaning & sanitization

Tech Stack

TesseractUnstructured.ioDocAI

Flexible Architecture

One platform, two powerful deployment modes. Choose the integration that fits your stack.

Semantic Search Engine

Retrieval Only

Use our high-performance vector API to power search bars, recommendation feeds, or existing applications. We return ranked document chunks with relevance scores.

  • Sub-50ms latency
  • Hybrid keyword + vector ranking
  • Raw metadata access
GET /api/v1/search?q=legal_precedent&top_k=5

AI Agent (RAG)

Retrieval + Generation

Deploy a full reasoning engine. The system retrieves context, ranks it, and uses an LLM to synthesize a natural language answer with citations.

  • Multi-turn conversation history
  • Grounded answers with citations
  • Prompt engineering included
POST /api/v1/agent/chat { "message": "..." }

Built for Business

From legal firms to e-commerce giants, our platform adapts to your industry's data.

Legal Knowledge Base

Law firms and legal departments

Index your contracts, case law and legal texts. Get precise answers with source citations. Save hours of document research.

E-commerce Chatbot

Online stores and marketplaces

Create an assistant that knows your entire product catalog. Personalized recommendations, technical Q&A, 24/7 sales support.

HR & Onboarding

Human resources departments

Centralize your internal procedures, policies, and handbooks. New employees autonomous from day one. Instant answers to common questions.

Customer Support

After-sales and helpdesk services

Technical knowledge base accessible in natural language. Reduced resolution time. Better-equipped agents with the right information.

Research & Monitoring

R&D teams and analysts

Explore thousands of research documents, patents, articles. Identify trends and connect information across different sources.